Presents the latest research on developing semantic web applications for a broad range of scientific disciplines
Covers developments in knowledge acquisition, integration, and dissemination
Presents research findings from respected leaders in semantic web application development
Huajun Chen received his B.S. from the Department of Biochemical Engineering, and Ph.D. from the College of Computer Science, both from Zhejiang University. At present, he serves as an associate professor in the college of computer science at Zheijiang University and was a visiting researcher at the school of computer science, Carnegie Mellon University. He is currently working for the China 973 "Semantic Grid" initiative and the leader of the e-Science DartGrid semantic grid project.
Yimin Wang is an associate information consultant in Lilly Singapore Centre for Drug Discovery. He is currently leading projects related to Semantic Web R&D in the division of Integrative Computational Science to support drug discovery research. Before joining Lilly Singapore, he was a research associate at the University of Karlsruhe, Institute of Applied Informatics and Formal Deillegalscription Methods (AIFB). He received his MS in 2005 after studying Advanced Computer Science in the Medical Informatics Group at University of Manchester, supervised by Prof. Alan Rector.
Dr. Kei Cheung is an Associate Professor at the Yale Center for Medical Informatics. He received his PhD degree in Computer Science from the University of Connecticut. Since his PhD graduation, Dr. Cheung has been a faculty member at the Yale University School of Medicine. Dr. Cheung has a joint appointment with the Computer Science Department and Genetics Department at Yale. Dr. Cheung´s primary research interest lies in the area of bioinformatics database and tool integration. Recently, he has embarked on the exploration of Semantic Web in the context of Life Sciences (including Neuroscience) data and tool integration. Dr. Cheung edited Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences (Springer) and served as the chair of the First International Workshop on Health Care and Life Sciences Data Integration for the Semantic Web, which was held cooperatively with the WWW2007 conference. He was he Guest Editor of the Special Issue: "Semantic BioMed Mashup", Journal of Biomedical Informatics. Dr. Cheung is also an invited expert to the Semantic Web Health Care and Life Science Interest Group launched by the World Wide Web Consortium.
The Semantic Web has been a very important development in how knowledge is disseminated and manipulated on the Web, but it has been of particular importance to the flow of scientific knowledge, and will continue to shape how data is stored and accessed in a broad range of disciplines, including life sciences, earth science, materials science, and the social sciences. Many books and papers have been published on the semantic web (particularly by Springer), but nothing to date has specifically illustrated how applications can be used to acquire, integrate, and deliver knowledge in so many scientific disciplines as this proposed volume.
After first presenting papers on the foundations of semantic e-science, including papers on scientific knowledge acquisition, data integration, and workflow, this volume looks at the state of the art in each of the above-mentioned disciplines, presenting research on semantic web applications in the life, earth, materials, and social sciences. Drawing papers from three semantic web workshops, as well as papers from several invited contributors, this volume illustrates how far semantic web applications have come in helping to manage scientific information flow.
Supporting e-Science Using Semantic Web Technologies – The Semantic Grid.- Semantic Disclosure in an e-Science Environment.- A Smart e-Science Cyberinfrastructure for Cross-Disciplinary Scientific Collaborations.- Developing Ontologies within Decentralised Settings.- Semantic Technologies for Searching in e-Science Grids.- BSIS: An Experiment in Automating Bioinformatics Tasks Through Intelligent Workflow Construction.- Near-Miss Detection in Nursing: Rules and Semantics.- Toward Autonomous Mining of the Sensor Web.- Towards Knowledge-Based Life Science Publication Repositories.
PrefaceHuajun Chen, Yimin Wang, and Kei CheungSupporting e-Science using Semantic Web Technologies - The Semantic GridDavid De Roure and Carole GobleSemantic Disclosure in an e-Science EnvironmentM. Scott Marshall, Marco Roos, Edgar Meij, Sophia Katrenko, Willem Robert van Hage, and Pieter W. AdriaansA Smart e-Science Cyberinfrastructure for Cross-Disciplinary Scientific CollaborationsHock Beng Lim, Mudasser Iqbal, Yuxia Yao, and Wenqiang WangDeveloping Ontologies within Decentralised SettingsAlexander Garcia, Kieran O´Neill, Leyla Jael Garcia, Phillip Lord, Robert Stevens, Oscar Corcho, and Frank GibsonSemantic Technologies for Searching in e-Sceince GridsAmitava Biswas, Suneil Mohan, and Rabi MahapatraBSIS: An Experiment in Automating Bioinformatics Tasks Through Intelligent Workflow ConstructionYu Pan, Enrico Pontelli, and Son Cao TranNear Miss Detection in Nursing: Rules and SemanticsMikhail Simonov and Flavia MazzitelliToward Autonomous Mining of the Sensor WebPeisheng Zhao, Liping Di,and Genong YuTowards Knowledge-Based Life Science Publication RepositoriesVít Novácek, Tudor Groza, and Siegfried Handschuh
The Semantic Web has been a very important development in how knowledge is disseminated and manipulated on the Web, but it has been of particular importance to the flow of scientific knowledge, and will continue to shape how data is stored and accessed in a broad range of disciplines, including life sciences, earth science, materials science, and the social sciences. After first presenting papers on the foundations of semantic e-science, including papers on scientific knowledge acquisition, data integration, and workflow, this volume looks at the state of the art in each of the above-mentioned disciplines, presenting research on semantic web applications in the life, earth, materials, and social sciences. Drawing papers from three semantic web workshops, as well as papers from several invited contributors, this volume illustrates how far semantic web applications have come in helping to manage scientific information flow.
Supporting e-Science Using Semantic Web Technologies - The Semantic Grid.- Semantic Disclosure in an e-Science Environment.- A Smart e-Science Cyberinfrastructure for Cross-Disciplinary Scientific Collaborations.- Developing Ontologies within Decentralised Settings.- Semantic Technologies for Searching in e-Science Grids.- BSIS: An Experiment in Automating Bioinformatics Tasks Through Intelligent Workflow Construction.- Near-Miss Detection in Nursing: Rules and Semantics.- Toward Autonomous Mining of the Sensor Web.- Towards Knowledge-Based Life Science Publication Repositories.
Huajun Chen received his B.S. from the Department of Biochemical Engineering, and Ph.D. from the College of Computer Science, both from Zhejiang University. At present, he serves as an associate professor in the college of computer science at Zheijiang University and was a visiting researcher at the school of computer science, Carnegie Mellon University. He is currently working for the China 973 "Semantic Grid" initiative and the leader of the e-Science DartGrid semantic grid project.
Yimin Wang is an associate information consultant in Lilly Singapore Centre for Drug Discovery. He is currently leading projects related to Semantic Web R&D in the division of Integrative Computational Science to support drug discovery research. Before joining Lilly Singapore, he was a research associate at the University of Karlsruhe, Institute of Applied Informatics and Formal Deillegalscription Methods (AIFB). He received his MS in 2005 after studying Advanced Computer Science in the Medical Informatics Group at University of Manchester, supervised by Prof. Alan Rector.
Dr. Kei Cheung is an Associate Professor at the Yale Center for Medical Informatics. He received his PhD degree in Computer Science from the University of Connecticut. Since his PhD graduation, Dr. Cheung has been a faculty member at the Yale University School of Medicine. Dr. Cheung has a joint appointment with the Computer Science Department and Genetics Department at Yale. Dr. Cheung's primary research interest lies in the area of bioinformatics database and tool integration. Recently, he has embarked on the exploration of Semantic Web in the context of Life Sciences (including Neuroscience) data and tool integration. Dr. Cheung edited Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences (Springer) and served as the chair of the First International Workshop on Health Care and Life Sciences Data Integrationfor the Semantic Web, which was held cooperatively with the WWW2007 conference. He was he Guest Editor of the Special Issue: "Semantic BioMed Mashup", Journal of Biomedical Informatics. Dr. Cheung is also an invited expert to the Semantic Web Health Care and Life Science Interest Group launched by the World Wide Web Consortium.
Über den Autor
Huajun Chen received his B.S. from the Department of Biochemical Engineering, and Ph.D. from the College of Computer Science, both from Zhejiang University. At present, he serves as an associate professor in the college of computer science at Zheijiang University and was a visiting researcher at the school of computer science, Carnegie Mellon University. He is currently working for the China 973 "Semantic Grid" initiative and the leader of the e-Science DartGrid semantic grid project.
Yimin Wang is an associate information consultant in Lilly Singapore Centre for Drug Discovery. He is currently leading projects related to Semantic Web R&D in the division of Integrative Computational Science to support drug discovery research. Before joining Lilly Singapore, he was a research associate at the University of Karlsruhe, Institute of Applied Informatics and Formal Deillegalscription Methods (AIFB). He received his MS in 2005 after studying Advanced Computer Science in the Medical Informatics Group at University of Manchester, supervised by Prof. Alan Rector.
Dr. Kei Cheung is an Associate Professor at the Yale Center for Medical Informatics. He received his PhD degree in Computer Science from the University of Connecticut. Since his PhD graduation, Dr. Cheung has been a faculty member at the Yale University School of Medicine. Dr. Cheung has a joint appointment with the Computer Science Department and Genetics Department at Yale. Dr. Cheung's primary research interest lies in the area of bioinformatics database and tool integration. Recently, he has embarked on the exploration of Semantic Web in the context of Life Sciences (including Neuroscience) data and tool integration. Dr. Cheung edited Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences (Springer) and served as the chair of the First International Workshop on Health Care and Life Sciences Data Integrationfor the Semantic Web, which was held cooperatively with the WWW2007 conference. He was he Guest Editor of the Special Issue: "Semantic BioMed Mashup", Journal of Biomedical Informatics. Dr. Cheung is also an invited expert to the Semantic Web Health Care and Life Science Interest Group launched by the World Wide Web Consortium.
Inhaltsverzeichnis
Supporting e-Science Using Semantic Web Technologies - The Semantic Grid.- Semantic Disclosure in an e-Science Environment.- A Smart e-Science Cyberinfrastructure for Cross-Disciplinary Scientific Collaborations.- Developing Ontologies within Decentralised Settings.- Semantic Technologies for Searching in e-Science Grids.- BSIS: An Experiment in Automating Bioinformatics Tasks Through Intelligent Workflow Construction.- Near-Miss Detection in Nursing: Rules and Semantics.- Toward Autonomous Mining of the Sensor Web.- Towards Knowledge-Based Life Science Publication Repositories.
Klappentext
Preface
Huajun Chen, Yimin Wang, and Kei Cheung
Supporting e-Science using Semantic Web Technologies - The Semantic Grid
David De Roure and Carole Goble
Semantic Disclosure in an e-Science Environment
M. Scott Marshall, Marco Roos, Edgar Meij, Sophia Katrenko, Willem Robert van Hage, and Pieter W. Adriaans
A Smart e-Science Cyberinfrastructure for Cross-Disciplinary Scientific Collaborations
Hock Beng Lim, Mudasser Iqbal, Yuxia Yao, and Wenqiang Wang
Developing Ontologies within Decentralised Settings
Alexander Garcia, Kieran O'Neill, Leyla Jael Garcia, Phillip Lord, Robert Stevens, Oscar Corcho, and Frank Gibson
Semantic Technologies for Searching in e-Sceince Grids
Amitava Biswas, Suneil Mohan, and Rabi Mahapatra
BSIS: An Experiment in Automating Bioinformatics Tasks Through Intelligent Workflow Construction
Yu Pan, Enrico Pontelli, and Son Cao Tran
Near Miss Detection in Nursing: Rules and Semantics
Mikhail Simonov and Flavia Mazzitelli
Toward Autonomous Mining of the Sensor Web
Peisheng Zhao, Liping Di,and Genong Yu
Towards Knowledge-Based Life Science Publication Repositories
Vít Novácek, Tudor Groza, and Siegfried Handschuh
Presents the latest research on developing semantic web applications for a broad range of scientific disciplines
Covers developments in knowledge acquisition, integration, and dissemination
Presents research findings from respected leaders in semantic web application development
Includes supplementary material: sn.pub/extras
